Databricks Spark Developer Associate: Practice Questions

This course contains the use of artificial intelligence.

Prepare for the Databricks Certified Associate Developer for Apache Spark with 360 original practice questions that ask you to reason about code, data, execution and operational constraints. This course follows the seven domains in the exam guide effective October 30, 2025, including Spark Connect and the pandas API on Spark.

A structured practice path

Start with four focused tests containing 270 questions. Use them to identify gaps and revisit the documentation before attempting two full-length mocks. Each mock contains 45 single-answer questions with a 90-minute practice limit. Domain counts are rounded to whole questions from the published weights; these mocks model scored content rather than any additional unscored exam items.

The six tests cover:

• Architecture, execution hierarchy, resources, caching, Spark modules, Connect and deployment modes.
• Spark SQL, JDBC and file sources, save modes, persistent tables, temporary views, pandas APIs and pandas UDFs.
• DataFrame transformations, data quality, aggregation, dates, joins, schemas, sorting, UDFs, broadcasts and accumulators.
• Partition tuning, Adaptive Query Execution, troubleshooting, streaming outputs, windows, checkpoints and deduplication.
• Two mixed-domain mocks that use different decisions and conditions to help you assess readiness.

Learn from each decision

Every question includes feedback for all four options, an overall explanation, a revision tip and links to relevant official documentation. Practice includes predicting small outputs, selecting an API that meets stated requirements, recognizing an invalid assumption, and using evidence to diagnose a problem. The aim is to understand the reasoning behind an answer so that you can apply it to a different situation.

Examples use Python and documented Apache Spark 3.5 APIs. The exam guide does not specify a particular runtime patch version; this documentation baseline is not a claim that the exam is restricted to Spark 3.5.6. A Spark environment is useful for your own experiments, but it is not required to take the tests.

Use your results constructively

The course's 80% score target is an author-defined revision goal, not an official passing score or a guarantee of certification. Review incorrect answers and answers you guessed, then try the second mock without checking explanations during the attempt. Use the current official exam guide for registration details and any later changes to the exam.

This is an independent practice resource, not an official Databricks course or an actual exam question bank. It is not affiliated with or endorsed by Databricks or the Apache Software Foundation.